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cs.LG2023
Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing
Alexander Haluszczynski, Daniel Köglmayr, Christoph Räth
Controlling nonlinear dynamical systems using machine learning allows to not only drive systems into simple behavior like periodicity but also to more complex arbitrary dynamics. F…
cs.LG2022★ 1 cited
Exploring the limits of multifunctionality across different reservoir computers
Andrew Flynn, Oliver Heilmann, Daniel Köglmayr +3
Multifunctional neural networks are capable of performing more than one task without changing any network connections. In this paper we explore the performance of a continuous-time…